The Map vs the Clickstream
Your assumed journey against what the data actually shows.
the assumed curve and the real data curve share one set of axes in different colors — the gap between where a team thinks friction lives and where people actually drop off becomes one visual instead of two decks nobody compares
What goes in, what comes out
Learner builds a journey map — touchpoints plus an emotion curve — from a team's stated assumptions about a flow, predicting the biggest drop-off point first. The engine then overlays real, synthetic, anonymized clickstream and drop-off data on the exact same timeline.
place touchpoints on the timeline; draw the predicted emotion curve; predict the biggest drop-off point before reveal
an overlaid dual chart of the assumed emotion curve against the actual drop-off curve, with the gap distance scored at each touchpoint
flow picker (3 seeded flows: onboarding, checkout, support); emotion-curve granularity (5-point / 10-point); overlay reveal timing
Module 'Research at Machine Speed' L2 demo + case-study landing page as a BOFU trust-builder
Concepts click when you open the machinery.
Three labs are already live and free — the same hands-on style this playground brings to its module.